A data frame with the same variable names as those that were
used to fit the model x.
times
Vector of times at which to return the estimated probabilities.
cause
Show predicted risk of events of this cause
xlim
Plotting range on the x-axis.
ylim
Plotting range on the y-axis.
xlab
Label given to the x-axis.
ylab
Label given to the y-axis.
axes
Logical. If FALSE no axes are drawn.
col
Vector of colors given to the survival curve.
density
Densitiy of the color – useful for showing many
(overlapping) curves.
lty
Vector of lty's given to the survival curve.
lwd
Vector of lwd's given to the survival curve.
add
Logical. If TRUE only lines are added to an existing
device
legend
Logical. If TRUE a legend is plotted by calling the function
legend. Optional arguments of the function legend can be given in
the form legend.x=val where x is the name of the argument and val the
desired value. See also Details.
percent
Logical. If TRUE the y-axis is labeled in percent.
...
Parameters that are filtered by SmartControl and
then passed to the functions: plot, axis,
legend.
Details
Arguments for the invoked functions legend and axis are simply
specified as legend.lty=2. The specification is not case sensitive,
thus Legend.lty=2 or LEGEND.lty=2 will have the same effect.
The function axis is called twice, and arguments of the form
axis1.labels, axis1.at are used for the time axis whereas
axis2.pos, axis1.labels, etc. are used for the y-axis.
These arguments are processed via ...{} of
plotPredictEventProb and inside by using the function
SmartControl.
Ulla B. Mogensen, Hemant Ishwaran, Thomas A. Gerds (2012).
Evaluating Random Forests for Survival Analysis Using Prediction Error
Curves. Journal of Statistical Software, 50(11), 1-23. URL
http://www.jstatsoft.org/v50/i11/.